In the context of Support Vector Machines (SVM), the margin refers to the distance between the separating hyperplane and the closest data points from each class, known as support vectors. A larger margin indicates a better generalization ability of the SVM, as it creates a buffer zone that minimizes the likelihood of misclassification. This concept is crucial for achieving optimal classification performance and helps to prevent overfitting.
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